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۱Design of Economic Optimal Double Sampling Design with Zero Acceptance Numbers
اطلاعات انتشار: Journal of Quality Engineering and Production Optimizatio، اول،شماره۲، ۲۰۱۵، سال
تعداد صفحات: ۱۲
In zero acceptance number sampling plans, the sample items of an incoming lot are inspected one by one. The proposed method in this research follows these rules: if the number of nonconforming items in the first sample is equal to zero, the lot is accepted but if the number of nonconforming items is equal to one, then second sample is taken and the policy of zero acceptance number would be applied for the second sample. In this paper, a mathematical model is developed to design single stage and double stage sampling plans. Proposed model can be used to determine the optimal tolerance limits and sample size. In addition, a sensitivity analysis is done to illustrate the effect of some important parameters on the objective function. The results show that the proposed two stage sampling plan has better performance than single stage sampling plan in terms of total loss function, sample size and robustness.

۲A New Optimization Model for Designing Acceptance Sampling Plan Based on Run Length of Conforming Items
اطلاعات انتشار: Journal of Industrial and Systems Engineering، نهم،شماره۲(پياپي ۲۸)، Spring ۲۰۱۶، سال
تعداد صفحات: ۲۱
The purpose of this article is to present an optimization model for designing an acceptance sampling plan based on cumulative sum of run length of conforming items. The objective is to minimize the total loss including both the producer and consumer losses. The concept of minimum angle method is applied to consider producer and consumer risks in the optimization model. Also the average number of inspection is considered in the constraint of the model.A practical case study is solved and a sensitivity analysis is performed for elaborating the effect of some important parameters on the objective function. The results of sensitivity analysis showed that the proposed model performance is logical, reliable in all the cases and also has better performance in comparison with classical method in most of the cases. A computational experiment is done to compare the different sampling schemes. The results of computational experiment showed that the proposed model has better performance due to smaller ANI value in all cases.
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